URL study guide
https://tue.osiris-student.nl/onderwijscatalogus/extern/cursus?cursuscode=2PDDSDV&collegejaar=2025&taal=enDescription
The aim of this module is to increase knowledge and experience with respect to visualization of the students participating, such that they:- Know the basic concepts, ideas, and techniques
- Are able to find and judge more information when needed, i.e. , how to find your way in the zoo
- Are able to use visualization for the exploration of data sets
- Are able to develop prototype visualization tools for end users
Literature on visualization is extremely rich, many open source courses have been developed, and there is an abundance of visualization tools. Students are free to use what they want for implementing visualizations. There are many different options, and also, the landscape changes quickly. Understanding opportunities and limitations of visualization in general is more important than becoming an expert in tool X or technology Y. Nevertheless, to make something and gain experience, the module offers the opportunity to make dirty hands.
References
Tamara Munzner: Visualization Analysis and Design, AK Peters, 2014.
Colin Ware: Information visualization: Perception for design, 3rd edition, Morgan Kaufmann.
Edward Tufte: Envisioning Information (1990), Visual Explanations: Images and Quantities,
Evidence and Narrative (1997), The Visual Display of Quantitative Information (2001),
Beautiful Evidence (2006).
Stephen Few: Show me the Numbers (2012), Now you see it (2009), Information Dashboard
Design (2013).
Online courses
Tamara Munzner, UBC: http://www.cs.ubc.ca/~tmm/courses/547-15/
Jeffrey Heer, Univ. Washington: http://courses.cs.washington.edu/courses/cse512/14wi/
John Stasko, Georgia Tech: http://www.cc.gatech.edu/~stasko/7450/
Miriah Meyer, Univ. of Utah: http://www.sci.utah.edu/~miriah/cs6964/
Software Tools
Tableau, https://www.tableau.com/trial/data-visualization
Spotfire, https://spotfire.tibco.com/
SynerScope, http://www.synerscope.com/
Keshif, http://keshif.me/